Muhammad Umer Mushtaq

854 total citations · 1 hit paper
11 papers, 330 citations indexed

About

Muhammad Umer Mushtaq is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Muhammad Umer Mushtaq has authored 11 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Muhammad Umer Mushtaq's work include Energy Harvesting in Wireless Networks (3 papers), Cooperative Communication and Network Coding (2 papers) and Advanced Wireless Communication Technologies (2 papers). Muhammad Umer Mushtaq is often cited by papers focused on Energy Harvesting in Wireless Networks (3 papers), Cooperative Communication and Network Coding (2 papers) and Advanced Wireless Communication Technologies (2 papers). Muhammad Umer Mushtaq collaborates with scholars based in China, Pakistan and South Africa. Muhammad Umer Mushtaq's co-authors include Jue Wu, Hassan Ali Khan, Zahid Halim, Syed Fawad Hussain, Hong Jiang, Hein S. Venter, Muhammad Bilal, Emad A. A. Ismail, Hongyuan Jiang and Fuad A. Awwad and has published in prestigious journals such as Applied Intelligence, Ain Shams Engineering Journal and Mathematical Biosciences & Engineering.

In The Last Decade

Muhammad Umer Mushtaq

9 papers receiving 310 citations

Hit Papers

Brain tumor classification in MRI image using convolution... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Brain tumor classification in MRI image using convolutional neural network
    2020 261 citations Hassan Ali Khan, Jue Wu et al. Mathematical Biosciences & Engineering profile →

Peers

Muhammad Umer Mushtaq
J. Seetha India
Emrah Irmak Türkiye
Jue Wu China
P. Sriramakrishnan India
Yepuganti Karuna India
Wajdi Elhamzi Tunisia
Asma Naseer Pakistan
Yuhong Li China
Muhammad Sohail Khan Pakistan
Bala Venkateswarlu Isunuri India
J. Seetha India
Muhammad Umer Mushtaq
Citations per year, relative to Muhammad Umer Mushtaq Muhammad Umer Mushtaq (= 1×) peers J. Seetha

Countries citing papers authored by Muhammad Umer Mushtaq

Since Specialization
Citations

This map shows the geographic impact of Muhammad Umer Mushtaq's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Muhammad Umer Mushtaq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umer Mushtaq more than expected).

Fields of papers citing papers by Muhammad Umer Mushtaq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Umer Mushtaq. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Muhammad Umer Mushtaq. The network helps show where Muhammad Umer Mushtaq may publish in the future.

Co-authorship network of co-authors of Muhammad Umer Mushtaq

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Umer Mushtaq. A scholar is included among the top collaborators of Muhammad Umer Mushtaq based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Umer Mushtaq. Muhammad Umer Mushtaq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Mushtaq, Muhammad Umer, et al.. (2025). Advances in Energy Harvesting for Sustainable Wireless Sensor Networks: Challenges and Opportunities. UpSpace Institutional Repository (University of Pretoria). 3(1). 1–1. 5 indexed citations
2.
Jiang, Hong, et al.. (2025). EMD empowered neural network for predicting spatio-temporal non-stationary channel in UAV communications. Applied Intelligence. 55(4). 1 indexed citations
3.
Mushtaq, Muhammad Umer, et al.. (2025). Cognitive strategies for UAV trajectory optimization: Ensuring safety and energy efficiency in real-world scenarios. Ain Shams Engineering Journal. 16(3). 103301–103301. 3 indexed citations
4.
Jiang, Hongyuan, et al.. (2025). Optimizing power allocation for URLLC-D2D in 5G networks with Rician fading channel. PeerJ Computer Science. 11. e2712–e2712.
5.
6.
Shang, Liping, et al.. (2023). An optimal defect recognition security-based terahertz low resolution image system using deep learning network. Egyptian Informatics Journal. 24(3). 100384–100384. 4 indexed citations
7.
Mushtaq, Muhammad Umer, et al.. (2023). Time-slot based architecture for power beam-assisted relay techniques in CR-WSNs with transceiver hardware inadequacies. Bulletin of the Polish Academy of Sciences Technical Sciences. 146620–146620. 4 indexed citations
8.
Jiang, Hongyuan, et al.. (2023). Optimizing Power Allocation for D2D Communication with URLLC under Rician Fading Channel: A Learning-to-Optimize Approach. Intelligent Automation & Soft Computing. 37(3). 3193–3212. 4 indexed citations
9.
Khan, Hassan Ali, Jue Wu, & Muhammad Umer Mushtaq. (2020). Brain tumor classification in MRI image using convolutional neural network. Mathematical Biosciences & Engineering. 17(5). 6203–6216. 261 indexed citations breakdown →
10.
11.
Hussain, Syed Fawad, Muhammad Umer Mushtaq, & Zahid Halim. (2014). Multi-view document clustering via ensemble method. Journal of Intelligent Information Systems. 43(1). 81–99. 44 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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